Genomic reanalysis of a pan-European rare-disease resource yields new diagnoses
Notice bibliographique
Résumé
Funder: The Solve-RD consortium is grateful to all involved rare disease patients and their families as well as other contributors to Solve-RD. The Solve-RD project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779257 (to all authors). This research is supported (not financially) by four ERNs: (1) The ERN for Intellectual Disability, Telehealth and Congenital Anomalies (ERN ITHACA)—Project ID No 101085231; (2) The ERN on Rare Neurological Diseases (ERN RND)—Project ID No 101155994; (3) The ERN for Neuromuscular Diseases (ERN Euro-NMD)—Project ID No 101156434; (4) The ERN on Genetic Tumour Risk Syndromes (ERN GENTURIS)—Project ID No 101155809. The ERNs are co-funded by the European Union within the framework of the Third Health Programme. The RD-Connect Genome-Phenome Analysis platform developed under FP7/2007–2013 funded project (grant agreement n° 305444) and ongoing funding from EJP-RD (grant numbers H2020 779257, H2020 825575), Instituto de Salud Carlos III (Grant numbers PT13/0001/0044, PT17/0009/0019; Instituto Nacional de Bioinformática, INB), ELIXIR-EXCELERATE (Grant number EU H2020 #676559) and ELIXIR Implementation Studies (Remote real-time visualisation of human rare disease genomics data (RD-Connect) stored at the EGA ELIXIR. 2017-2018; ELIXIR IT-2017-INTEGRATION, Rare Disease Infrastructure ELIXIR, 2019-2020 and the Beacon ELIXIR, 2019-2021). The RD-Connect GPAP has leveraged developments funded through project VEIS (001-P-001647 co-financed by the European Regional Development Fund of the European Union in the framework of the Operational Program FEDER of Catalonia 2014-2020 with the support of the Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya) and URD-Cat (PERIS SLT002/16/00174, Departament de Salut, Generalitat de Catalunya). The Spanish academic and research network RedIris (https://www.rediris.es/) provided the Aspera service used for uploading raw data for processing to the RD-Connect GPAP, and for transferring data between centres. Netherlands Science Organisations (NWO VIDI 917.164.55 to C.G.). Ministero della Salute (Genoma mEdiciNa pERsonalizzatA, T3-AN-04, to V.N., A.R., and M.T.). The “Network for Italian Genomes - NIG”, “Cell lines and DNA bank of Rett Syndrome, X-linked mental retardation and other genetic diseases”, member of the Telethon Network of Genetic Biobanks (project no. GTB12001), and EuroBioBank network. H.L. receives support from the Canadian Institutes of Health Research (CIHR) for Foundation Grant FDN-167281 (Precision Health for Neuromuscular Diseases), Transnational Team Grant ERT-174211 (ProDGNE) and Network Grant OR2-189333 (NMD4C), from the Canada Foundation for Innovation (CFI-JELF 38412), the Canada Research Chairs program (Canada Research Chair in Neuromuscular Genomics and Health, 950-232279), the European Commission (grant number 101080249) and the Canada Research Coordinating Committee New Frontiers in Research Fund (NFRFG-2022-00033) for SIMPATHIC, and from the Government of Canada Canada First Research Excellence Fund (CFREF) for the Brain-Heart Interconnectome (CFREF-2022-00007). K.P. is a recipient of a Canadian Institutes of Health Research (CIHR) postdoctoral fellowship award under award no: MFE-491707 This work was furthermore supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) No 441409627, as part of the PROSPAX consortium under the frame of EJP RD, the European Joint Programme on Rare Diseases, under the EJP RD COFUND-EJP N° 825575 (to M.Sy., R.S., and R.H.,) and the Clinician Scientist programme "PRECISE.net" funded by the Else Kröner-Fresenius-Stiftung (to C.W., M.K., R.S. and M.Sy.). J.P.S. was financed by Programme EXCELES, (ID Project No. LX22NPO5107) - Funded by the European Union – Next Generation EU. B.v.d.W. is supported by ZonMW, the Gossweiler Foundation, and the ‘Hersenstichting’. The work of F.Mun. was also supported by Muscular Dystrophy UK, and Muscular Dystrophy USA. H.G. and T.B.H. are supported by the European Union’s Horizon 2020 research and innovation program project Recon4IMD (grant number 101080997). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».